24 citations · 36 across the 9 of their papers we have counts for
10 papers
Characterizing the Impact of Congestion in Modern HPC Interconnects
Lorenzo Piarulli, Marco Faltelli, Dirk Pleiter +7
High-performance computing (HPC) systems increasingly support both scalable AI training and large-scale simulation workloads. Both typically rely heavily on collective communicatio…
DECICE: Device-Edge-Cloud Intelligent Collaboration Framework
Julian Kunkel, Christian Boehme, Jonathan Decker +11
DECICE is a Horizon Europe project that is developing an AI-enabled open and portable management framework for automatic and adaptive optimization and deployment of applications in…
Optimising AI Training Deployments using Graph Compilers and Containers
Nina Mujkanovic, Karthee Sivalingam, Alfio Lazzaro
Artificial Intelligence (AI) applications based on Deep Neural Networks (DNN) or Deep Learning (DL) have become popular due to their success in solving problems likeimage analysis…
Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE
Andrew Turner, Dominic Sloan-Murphy, Karthee Sivalingam +2
In this paper, we describe how we have used a combination of the LASSi tool (developed by Cray) and the SAFE software (developed by EPCC) to collect and analyse Lustre I/O performa…
LASSi: Metric based I/O analytics for HPC
Karthee Sivalingam, Harvey Richardson, Adrian Tate +1
LASSi is a tool aimed at analyzing application usage and contention caused by use of shared resources (filesystem or network) in a HPC system. LASSi was initially developed to supp…
Performance analysis and Optimisation of the Met Unified Model on a Cray XC30
Karthee Sivalingam, Grenville Lister, Bryan Lawrence
The Unified Model (UM) code supports simulation of weather, climate and earth system processes. It is primarily developed by the UK Met Office, but in recent years a wider communit…
Clover Action for Blue Gene-Q and Iterative solvers for DWF
Karthee Sivalingam, Peter Boyle
In Lattice QCD, a major challenge in simulating physical quarks is the computational complexity of these simulations. In this proceeding, we describe the optimisation of Clover fer…
Variance reduction with practical all-to-all lattice propagators
Eric Endress, Carlos Pena, Karthee Sivalingam
We discuss all-to-all quark propagator techniques in two (related) contexts within Lattice QCD: the computation of closed quark propagators, and applications to the so-called "eye…
The kaon semileptonic form factor with near physical domain wall quarks
Peter A. Boyle, Jonathan M. Flynn, Nicolas Garron +4
We present a new calculation of the K->pi semileptonic form factor at zero momentum transfer in domain wall lattice QCD with Nf=2+1 dynamical quark flavours. By using partially twi…
Kaon semileptonic decays near the physical point
Peter A. Boyle, Jonathan M. Flynn, Andreas Jüttner +3
The CKM matrix element can be extracted from the experimental measurement of semileptonic decays. The determination depends on theory input for the corresponding…